Microscopic mechanism of organic carbon sequestration and redox properties influenced by iron (Oxyhydr)oxides

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-01 Epub Date: 2025-01-30 DOI:10.1016/j.watres.2025.123220
Chuanjin Lin , Bin Dong , Zuxin Xu
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Abstract

Iron and organic carbon (OC) biogeochemical cycling is highly correlated, and dissolved organic matter (DOM), a highly reactive component of soil and water environments, is the main OC source. However, the micro-mechanism of the molecular fractionation of DOM, the spatial OC distribution on iron (oxyhydr)oxides, and how these factors further affect their redox properties remain to be fully understood. Therefore, this study investigated the DOM adsorption properties of iron (oxyhydr)oxides with different crystallinities at the molecular level through the Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) and transmission electron microscopy/electron energy loss spectroscopy (TEM–EELS) analyses of the liquid-solid phases. Owing to the limited number of adsorption sites, OC sequestration on goethite and hematite surfaces generally followed an “onion” model, in the order of preference of aromatic, aliphatic, and carboxylic acid-rich compounds. Combined with dielectric electrochemical tests and charge differential density calculations, the results revealed that the complexation effect produced by iron ions increased the electron-accepting capacity (EAC) of the DOM remaining in the aqueous solution. In contrast, molecular selective adsorption and oxidative polymerization significantly enhanced the EAC of DOM adsorbed on the surface fraction of iron (oxyhydr)oxides. These findings help elucidate the mechanism of OC sequestration by iron (oxyhydr)oxides. The increased EAC may affect various biogeochemical processes, such as methane production and microbial Fe(III) reduction, facilitating the prediction of OC cycling in natural environments.

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铁(氧)氧化物对有机碳固存和氧化还原性能影响的微观机制
铁与有机碳(OC)生物地球化学循环高度相关,溶解有机质(DOM)是土壤和水环境中高活性组分,是OC的主要来源。然而,DOM分子分异的微观机制、氧离子在铁(氧)氧化物上的空间分布以及这些因素如何进一步影响其氧化还原性能仍有待进一步研究。因此,本研究通过傅里叶变换离子回旋共振质谱(FT-ICR MS)和透射电镜/电子能量损失谱(TEM-EELS)分析了不同结晶度的铁(氧)氧化物在分子水平上对DOM的吸附特性。由于吸附位点的数量有限,针铁矿和赤铁矿表面的碳螯合通常遵循“洋葱”模式,依次为芳香族、脂肪族和富含羧酸的化合物。结合介质电化学测试和电荷差密度计算,结果表明,铁离子的络合作用增加了水溶液中DOM的电子接受容量(EAC)。相比之下,分子选择性吸附和氧化聚合显著提高了DOM吸附在铁(氧)氧化物表面的EAC。这些发现有助于阐明铁(氧)氧化物固碳的机理。EAC的增加可能影响甲烷生成和微生物Fe(III)还原等多种生物地球化学过程,有助于预测自然环境中OC的循环。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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